Abstract
AbstractThe critical brain hypothesis states that biological neuronal networks, because of their structural and functional architecture, work near phase transitions for optimal response to internal and external inputs. Criticality thus provides optimal function and behavioral capabilities. We test this hypothesis by examining the influence of brain injury (strokes) on the criticality of neural dynamics estimated at the level of single participants using directly measured individual structural connectomes and whole-brain models. Lesions engender a sub-critical state that recovers over time in parallel with behavior. The improvement of criticality is associated with the re-modeling of specific white-matter connections. We show that personalized whole-brain dynamical models poised at criticality track neural dynamics, alteration post-stroke, and behavior at the level of single participants.
Funder
Ministry of Science, Technology and Innovation | Conselho Nacional de Desenvolvimento Científico e Tecnológico
FAPESP - The São Paulo Research Foundation
Publisher
Springer Science and Business Media LLC
Subject
General Physics and Astronomy,General Biochemistry, Genetics and Molecular Biology,General Chemistry,Multidisciplinary
Reference123 articles.
1. Hesse, J. & Gross, T. Self-organized criticality as a fundamental property of neural systems. Front. Syst. Neurosci. 8, 166 (2014).
2. Massobrio, P., de Arcangelis, L., Pasquale, V., Jensen, H. J. & Plenz, D. Criticality as a signature of healthy neural systems. Front. Syst. Neurosci. 15, 22 (2015).
3. Chialvo, D. R. Emergent complex neural dynamics. Nat. Phys. 6, 744 (2010).
4. di Santo, S., Villegas, P., Burioni, R. & Muñoz, M. A. Landau-Ginzburg theory of cortex dynamics: Scale-free avalanches emerge at the edge ofsynchronization. Proc. Natl. Acad. Sci. 115, E1356–E1365 (2018).
5. Fontenele, A. J. et al. Criticality between cortical states. Phys. Rev. Lett. 122, 208101 (2019).
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